In Silico Methods for Predicting Drug Toxicity

Lieferzeit: Lieferbar innerhalb 14 Tagen

117,69 

Methods in Molecular Biology 1425

ISBN: 1493980939
ISBN 13: 9781493980932
Herausgeber: Emilio Benfenati
Verlag: Humana Press
Umfang: xi, 534 S., 37 s/w Illustr., 156 farbige Illustr., 534 p. 193 illus., 156 illus. in color.
Erscheinungsdatum: 30.05.2018
Auflage: 1/2016
Produktform: Kartoniert
Einband: Kartoniert

This detailed volume explores in silico methods for pharmaceutical toxicity by combining the theoretical advanced research with the practical application of the tools. Beginning with a section covering sophisticated models addressing the binding to receptors, pharmacokinetics and adsorption, metabolism, distribution, and excretion, the book continues with chapters delving into models for specific toxicological and ecotoxicological endpoints, as well as broad views of the main initiatives and new perspectives which will very likely improve our way of modelling pharmaceuticals. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that is key for achieving successful research results.Authoritative and practical, In Silico Methods for Predicting Drug Toxicity offers the advantage of incorporating data and knowledge from different fields, such as chemistry, biology, -omics, and pharmacology, to achieve goals in this vital area of research.

Artikelnummer: 5406090 Kategorie:

Beschreibung

This detailed volume explores in silico methods for pharmaceutical toxicity by combining the theoretical advanced research with the practical application of the tools. Beginning with a section covering sophisticated models addressing the binding to receptors, pharmacokinetics and adsorption, metabolism, distribution, and excretion, the book continues with chapters delving into models for specific toxicological and ecotoxicological endpoints, as well as broad views of the main initiatives and new perspectives which will very likely improve our way of modelling pharmaceuticals. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that is key for achieving successful research results. Authoritative and practical, In Silico Methods for Predicting Drug Toxicity offers the advantage of incorporating data and knowledge from different fields, such as chemistry, biology, -omics, and pharmacology, to achieve goals in this vital area of research.

Herstellerkennzeichnung:


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14197 Berlin
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E-Mail: juergen.hartmann@springer.com

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